scholarly journals Study on Remote Sensing Dynamic Monitoring of Geological Environment

2020 ◽  
Vol 9 (2) ◽  
pp. 30
Author(s):  
Yanzhuo Fang
Keyword(s):  
Remote Sensing ◽  
Mineral Resources ◽  
Decisive Role ◽  
Research Problem ◽  
Dynamic Monitoring ◽  
Geological Environment ◽  
Remote Sensing Monitoring ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Mineral Development

<p>With the continuous development of science and technology, remote sensing technology has become more and more mature and more advanced in our country, and the application of remote sensing technology to the monitoring of geological environment is also an important research problem in continuous improvement in recent years. China has a vast land area, rich mineral resources, strong geological diversity and complex geological environment, and the geological exploration of the origin of mineral resources is a prerequisite for the rationality of mineral development. Therefore, the remote sensing dynamic monitoring of geological environment plays a decisive role in mineral development. With the development of mineral resources, China’s mineral environment is getting worse and worse. In order to ensure the long-term development of mineral resources and the safety of mining personnel. Remote sensing dynamic monitoring of geological environment in mineral areas is of great significance. Based on this, this paper will study the remote sensing monitoring data of mining, and provide help for the remote sensing monitoring of geological environment of mineral development in China.</p>

scholarly journals Optimal Allocation Algorithm of Geological and Ecological High-resolution Remote Sensing Monitoring Sampling Points

2020 ◽  
Vol 24 (1) ◽  
pp. 105-110
Author(s):  
Taifu Bi
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Search Algorithm ◽  
Support Vector ◽  
Allocation Algorithm ◽  
Remote Sensing Monitoring ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sampling Points ◽  
Selective Search

Abstract: The purpose of this study is to solve the problem of unsatisfactory image representation of monitoring sampling points in high-resolution remote sensing due to the complexity of geological ecology. Firstly, three algorithms used in remote sensing technology were introduced, that is, extraction algorithm of monitoring sampling point (selective search algorithm), discriminant algorithm (support vector machine) and BING algorithm. Then, the BING algorithm was improved. Finally, the superiority of the improved BING algorithm was verified through experimental data set. The results showed that selective search algorithm could generate more candidate windows in remote sensing image and had better adaptability. The improved algorithm had higher quality of candidate windows extracted from remote sensing images. Although the IBING algorithm could greatly improve the extraction speed of remote sensing, the detection time of each image became larger. Such testing times were still acceptable. Therefore, in this research, the allocation algorithm of geological and ecological high-resolution remote sensing monitoring sampling points was optimized, which had a good guiding significance for the application of remote sensing technology in geological and ecological research.

Remote Sensing Technology in Flood Monitoring and Assessment Application

2013 ◽  
Vol 411-414 ◽  
pp. 1495-1500
Author(s):  
Xiao Tao Li ◽  
Shi Feng Huang ◽  
Gai Le ◽  
Ya Yong Sun
Keyword(s):  
Remote Sensing ◽  
Evaluation System ◽  
Monitoring And Evaluation ◽  
Development Trend ◽  
Flood Disaster ◽  
Remote Sensing Monitoring ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Disaster Monitoring ◽  
Research Situation

This paper expounds the research situation of remote sensing technology in the flood disaster monitoring and evaluation. And some of the application of domestic and foreign better remote sensing monitoring and evaluation system of flood disaster are introduced in this paper. Some current problems of remote sensing monitoring and evaluation of flood disaster and the future development trend are also presented in this paper.

Geological environment evaluation of river valley slope projects based on remote sensing technology

2021 ◽  
Vol 7 (6) ◽  
pp. 6262-6282
Author(s):  
Liang Ma ◽  
Guangming He ◽  
Xunshi Wang ◽  
Xiangling Zhao ◽  
Bing Fan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Evaluation System ◽  
Evaluation Method ◽  
River Valley ◽  
Evaluation Framework ◽  
Evaluation Index ◽  
Geological Environment ◽  
Remote Sensing Technology ◽  
Valley Slope ◽  
Sensing Technology

The method to evaluate the geological environment of river valley slope projects has a small precision in determining the weight of geological environment evaluation index, which leads to a large error between the results of geological environment evaluation and the actual value of river valley slope projects. Therefore, the reverse research of the geological environment evaluation of river valley slope projects based on remote sensing technology is proposed. Remote sensing technology is used to build the projects’ geological environment evaluation framework of river valley slope, on this basis, the Delphi method is used to preliminarily determine the geological environment evaluation index, the cluster analysis is used to screen the evaluation index, the evaluation system of projects’ geological environment is constructed, the AHP method is used to calculate the evaluation index weight, and the corresponding remote sensing image number is obtained according to the projects’ geological environment evaluation system. According to the data, the corresponding software is used to preprocess it, and the remote sensing data of projects’ geological environment is obtained. The grey evaluation method is constructed based on AHP to realize the evaluation of geological environment of river valley slope projects. The experimental results show that compared with the existing methods, the evaluation error of the proposed method is smaller, which fully proves that the application performance of the proposed method is better.

scholarly journals Dynamic monitoring algorithm of natural resources in scenic spots based on MODIS Remote Sensing technology

2021 ◽  
Vol 25 (1) ◽  
pp. 57-64
Author(s):  
Maolin Li
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Atmospheric Correction ◽  
Least Square Method ◽  
Least Square ◽  
Dynamic Monitoring ◽  
Remote Sensing Images ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Monitoring Algorithm

A dynamic monitoring algorithm of natural resources in scenic spots based on MODIS remote sensing technology is proposed to improve natural resources monitoring accuracy in scenic spots. The remote sensing images of scenic spots obtained by MODIS were preprocessed by TM image processing, atmospheric correction, and other technologies to get high-precision remote sensing images. The remote sensing images of scenic spots were segmented by the multi-scale segmentation method, and then the hierarchical supervision classification method was used. The change points of natural resources were extracted. The resource changes and independent variables of scenic spots were analyzed based on the least square method to realize the dynamic monitoring of natural resources in scenic locations. The experimental results show that the technique can accurately monitor the dynamic changes of forest resources and water resources in scenic spots, and the monitoring results have high accuracy.

Application of Remote Sensing in the Research of Soil Erosion

2013 ◽  
Vol 807-809 ◽  
pp. 1658-1661
Author(s):  
Yang Yang ◽  
Shu Cheng Tan
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Water Loss ◽  
Dynamic Monitoring ◽  
Technology Application ◽  
Existing Problems ◽  
Soil And Water Loss ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Soil And Water

Since remote sensing technology introduced into China, has made considerable progress in the dynamic monitoring of soil and water loss research. Through the application of remote sensing technology in soil erosion monitoring in our country and other countries, analyze the existing problems in the remote sensing technology application, then make prospects for the application and development.

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